Software Engineer LLM Developer AI
Keystone Recruitment
Job Overview
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Job Description
Overview
The Software Engineer LLM Developer AI role at Keystone Recruitment is a remote, hourly contract position. The focus is on refining AI-generated prompts and code, validating algorithms, and providing detailed feedback on technical solutions. The candidate must have at least 2 years of experience with popular programming languages including Python, JavaScript, Java, or C++ and possess strong testing and debugging skills.
Key Responsibilities
- Review and refine AI-generated prompts, responses, and code.
- Validate algorithms and software concepts for technical accuracy.
- Provide structured feedback on solution quality and clarity.
- Tag and organize content by topic, difficulty, or language.
- Support benchmarking efforts to assess model capabilities.
Ideal Qualifications
- Minimum 2 years of software engineering or technical research experience.
- Bachelor’s degree in Software Engineering, Computer Science, or related field (advanced degree preferred).
- Proficiency in Python, JavaScript, Java, C++, among other languages.
- Experience with debugging, testing, and validating code.
- Skilled in technical writing with strong attention to detail.
Project Timeline & Engagement
Start Date: Immediate Duration: 1–2 months Commitment: Part-time (15–25 hours/week, potentially up to 40 hours/week)
Application & Onboarding Process
- Upload your resume
- Participate in a 15-minute AI interview covering your background and interest.
- Receive follow-up communication with next steps and onboarding details.
Contract and Payment Terms
Engaged as an independent contractor; fully remote role with flexible scheduling. Payments are made weekly via Stripe or Wise based on services rendered. Please note that H1-B or STEM OPT candidates are not supported.
Key skills/competency
- AI prompts
- Algorithm validation
- Software debugging
- Technical writing
- Python
- JavaScript
- C++
- Java
- Content tagging
- Benchmarking
How to Get Hired at Keystone Recruitment
- Customize your resume: Highlight AI, coding, and technical writing skills.
- Showcase relevant projects: Detail debugging and validation experiences.
- Prepare for interviews: Practice discussing prompt refinement strategies.
- Research Keystone Recruitment: Understand their contract structure and culture.
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